3 research outputs found
Analysis of MiniJava programs via translation to ML
MiniJava is a subset of the object-oriented programming language Java.
Standard ML is the canonical representative of the ML family of functional programming languages,
which includes F# and OCaml.
Different program analysis and verification tools and techniques have been developed
for both Java-like and ML-like languages.
Naturally, the tools developed for a particular language emphasise
accurate treatment of language features commonly used in that language.
In Java, this means objects with mutable properties and dynamic method dispatch.
In ML, this means higher order functions and algebraic datatypes with pattern matching.
We propose to translate programs from one language into the other
and use the target language's tools for analysis and verification.
By doing so, we hope to identify areas for improvement in the target language's tools
and suggest techniques, perhaps as used in the source language's tools, that may guide
their improvement.
More generally, we hope to develop tools for reasoning about programs
that are more resilient to changes in the style of code and representation of data.
We begin our programme by outlining a translation from MiniJava to ML
that uses only the core features of ML;
in particular, it avoids the use of ML's mutable references.
MiniJava is a subset of the object-oriented programming language Java.
Standard ML is the canonical representative of the ML family of functional programming languages,
which includes F# and OCaml.
Different program analysis and verification tools and techniques have been developed
for both Java-like and ML-like languages.
Naturally, the tools developed for a particular language emphasise
accurate treatment of language features commonly used in that language.
In Java, this means objects with mutable properties and dynamic method dispatch.
In ML, this means higher order functions and algebraic datatypes with pattern matching.
We propose to translate programs from one language into the other
and use the target language's tools for analysis and verification.
By doing so, we hope to identify areas for improvement in the target language's tools
and suggest techniques, perhaps as used in the source language's tools, that may guide
their improvement.
More generally, we hope to develop tools for reasoning about programs
that are more resilient to changes in the style of code and representation of data.
We begin our programme by outlining a translation from MiniJava to ML
that uses only the core features of ML;
in particular, it avoids the use of ML's mutable references